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725 results for “stroke rehabilitation”
A Systematic Review and Meta-Analysis of Mindfulness-Based (Baduanjin) Exercise for the Rehabilitation of Stroke Patients
<p><span>A Systematic Review and Meta-Analysis of Mindfulness-Based (Baduanjin) Exercise for the Rehabilitation of Stroke Patients</span></p>
Publication rate and consistency of registered trials of motor-based stroke rehabilitation
<p><strong>Table e1 - Eligible records</strong></p> <p>A list of registered randomized controlled trials (RCTs) meeting the following criteria:</p> <ol> <li>RCTs of motor-based interventions in individuals with stroke (including transient ischemic attack);</li> <li>Started on or after 1 July 2005;</li> <li>Completed before 1 April 2017 (actual or expected end date);</li> <li>Included human adult participants (≥18 years old);</li> <li>Included at least one outcome (primary or secondary) related to motor control, mobility, or physical functioning and performance of upper and/or lower extremities or the body as a whole; and</li> <li>Registered in English.</li> </ol> <p>This list was obtained by searching the following registries between 23 November 2017 and 22 February 2018: the International Clinical Trials Registry Platform, Clinicaltrials.gov (USA), Australian New Zealand Clinical Trial Registry, Chinese Clinical Trial Registry, Clinical Research Information Service (Republic of Korea), Clinical Trial Registry of India, Cuban Public Registry of Clinical Trials, European Union Clinical Trials Register, German Clinical Trials Register, Iranian Registry of Clinical Trials, International Standard Randomised Controlled Trials Number registry (UK), Center for Clinical Trials-Japan Medical Association, University Hospital Medical Information Network-Clinical Trial Registry (Japan), Thai Clinical Trials Registry, Netherlands Trials Registry, Pan African Clinical Trials Registry, Peruvian Clinical Trials Registry, and Sri Lanka Clinical Trials Registry. </p> <p><em>Variable definitions</em></p> <p>UIN: Unified identification number (obtained from the trial registry)</p> <p>Status: whether or not a peer-reviewed publication reporting the trial findings for the primary outcome/outcome was found</p> <ul> <li>Paper available: a publication reporting the trial findings for the primary outcome/objective was found</li> <li>Paper available (not English): a publication, published in a language other than English, reporting the trial findings for the primary outcome/objective was found</li> <li>Secondary paper available: a publication reporting study findings is available, but not for the primary objectives/outcome</li> <li>Results available: trial findings for the primary objective/outcome are available in a non-peer reviewed format (e.g., conference publication, non-peer reviewed journal, or uploaded to the trial registry)</li> <li>Discontinued: the trial registry record indicates that the trial was discontinued, so no publication is expected</li> <li>No paper/results: none of the above apply</li> </ul> <p>Source: database or method we used to find the publication reporting the trial findings for the primary objective/outcome</p> <ul> <li>Pubmed: the publication was found by searching for the UIN in Pubmed</li> <li>EMBASE/OVID: the publication was found by searching for the UIN in Embase or OVID Medline</li> <li>Google Scholar: the publication was found by searching for the UIN in Google Scholar</li> <li>Registry: the publication was listed in the trial registry</li> <li>Internet: the publication was found by a superficial internet search for the UIN</li> <li>Protocol: the publication was found through a cited reference search for the published protocol</li> <li>Author: the publication was found by contacting the trial investigators</li> <li>Other: the publication was found by some other means</li> <li>None: no publication reporting the trial findings for the primary objective/outcome was found</li> </ul> <p><strong>Table e2 - Published papers consistency</strong></p> <p>The subset of trials from Table e1 where an English-language publication reporting the trial findings for the primary objective/outcome was found.</p> <p><em>Variable definitions</em></p> <p>UIN: Unified identification number (obtained from the trial registry)</p> <p>DOI: digital objective identifier of the publication</p> <p>First_author: last name of the first author of the publication</p> <p>Year: year of the publication</p> <p>Journal: journal of the publication (abbreviated journal names are used, where available)</p> <p>Reg_Trial_End_Date: end date of the trial, as stated in the trial registry (format DD-MMM-YY)</p> <p>Date_Submitted: date when the paper was submitted to the journal for publication (where available; format: DD-MMM-YY)</p> <p>Time_To_Submit: difference, in days, between Reg_Trial_End_Date and Date_Submitted</p> <p>Date_Published: date when the paper was published, either online or in print, whichever is earlier (format: DD-MMM-YY)</p> <p>Time_To_Publish: difference, in days, between Reg_Trial_End_Date and Time_To_Publish</p> <p>UIN_Paper_Location: location of the UIN in the publication</p> <p>Reg_Pilot: whether the trial was defined as a pilot or feasibility study in the registry record (0=no, 1=yes)</p> <p>Paper_Pilot: whether the trial was defined as a pilot or feasibility study in the publication (0=no, 1=yes)</p> <p>Consistency_pilot: whether Reg_Pilot = Paper_Pilot (0=no, 1=yes)</p> <p>Consistency_Primary_Objective: whether the trial registry record and publication were consistent in terms of the primary objective (0=no, 1=yes)</p> <p>Consistency_Primary_Outcome: whether the trial registry record and publication were consistent in terms of the primary outcome (0=no, 1=yes)</p> <p>Target_N: target sample size, as indicated in the trial registry record</p> <p>Paper_N: number of participants recruited to the study, as indicated in the publication</p> <p>Consistency_N: whether the trial registry record and publication were consistent in terms of the sample size (i.e., Paper_N is within +/-10% of Target_N; 0=no, 1=yes)</p> <p>N_direction: for those trials that were inconsistent in terms of the sample size, whether Paper_N was less than (Under) or more then (Over) Target_N</p> <p>Eligibility_Consistency: whether the trial registry record and publication were consistent in terms of the eligibility criteria</p> <p>UIN_in_paper: the UIN that was included in the paper, exactly as it was published</p> <p>UIN_consistency: whether UIN = UIN_in_paper (0=no, 1=yes)</p> <p>Reg_Type: whether the trial was registered before recruiting the first participant (Prospective), after recruiting the first participant but before the trial was completed (Retro - pre-completion), or after the trial was completed (Retro - post-completion)</p> <p><strong>Table e3 - Inconsistency details</strong></p> <p>The subset of trials from Table e2 where the trial registry record and publication were inconsistent on only one of the criteria examined. This table provides further details of these inconsistencies, and details of any explanations for changes to the protocol since registration, if available.</p>
Dataset for Monitoring and Visualizing Stroke Rehabilitation Progress using Wearable Sensors (IMU)
<div> <p>This dataset is associated with a manuscript that is currently under peer review.</p> <p> </p> <p>Article Abstract:</p> <p>Stroke is one of the leading causes of death and disability worldwide, and recovering mobility is an important goal during post-stroke rehabilitation. In this work, we present a study to verify the feasibility of monitoring and visualizing longitudinal stroke gait rehabilitation progress using wearable sensors. Wearable devices such as inertial measurement units (IMUs) are easy-to-use and cost-effective tools for quantifying mobility. However, there is a need for research on longitudinal monitoring of stroke rehabilitation progress with wearables, as well as generating clinically relevant insights using appropriate visualizations. To this aim, we recruited ten stroke patients in their early rehabilitation stage. We collected and analyzed the IMU-derived gait features across two visits, and presented visualizations of the foot movement trajectories as well as the spatio-temporal gait parameters in the average, symmetry, and variation domains to quantify changes in gait. Our visualization and quantification methods are evaluated and validated by clinical experts, and prove to be promising in aiding clinicians to monitor rehabilitation progression.</p> <p> </p> <p>Data description:</p> <p>The dataset consists data from ten stroke patients who completed both visits. The "raw" data folder contains tri-axial acceleration and angular velocity data from the IMUs. In addition, information about the participants such as demographics (e.g., body height and body weight), FAC scores at both visits, and evaluations of gait improvement are documented in the file "participant_info.csv".</p> <p>The “interim” folder contains IMU data that has been manually segmented to remove irrelevant movements before and after each walking session during a visit, based on visual inspection of raw IMU signals. For quality control, the segmented accelerometer and gyroscope data of each sensor were plotted, and the plots were saved in the same folder as the IMU signals. In addition, during the first execution of gait parameter extraction, calculated 3D feet trajectories were cached in the "interim" folder, so that for future executions, the cached trajectories can be loaded directly, reducing the computational efforts for re-calculation. The file "stance_magnitude_thresholds_manual.csv" documents the angular velocity thresholds used to identify stance phases for the gait analysis algorithm for each participant. The threshold values were determined manually by observing the angular velocity signals. </p> <p>The “processed” folder contains stride-by-stride spatio-temporal gait parameters extracted for each of the four walking conditions, and aggregated gait parameters in terms of coefficients of variation and symmetry for all walking conditions for each participant. </p> <p> </p> </div>
Evaluation of comparative Efficacy of two routes of administration of Carathmus Tinctorius (Medicated Enema and Nasal Administration) as an Adjuvant Therapy with Standard Care With Physiotherapy in the Rehabilitation of Thrombolytic Stroke (Pakshaghat): A Randomized Controlled Trial Protocol
Open the record for dataset details and reuse information.
Overview of acute stroke and rehabilitation pathway.
<p><strong><em>This image is supplementary material for:</em></strong></p> <p>Currie, C. S.M. Monks, T. (2018) <em>Modelling Diseases: Prevention, Cure, and Management.</em> In M. Rabe, A. Juan, N. Mustafee, A. Skoogh, & B. Johansson (Eds.). Proceedings of the Winter Simulation Conference 2018. Gothenburg, Sweden.</p> <p><em>Relevant to:</em></p> <p><em>Section 5.1</em></p>
Informing upper extremity rehabilitation through endpoint kinematics of the functional reaching movement after stroke
<p>Background. Stroke is a leading contributor to upper limb disability. Current assessments of motor ability are at best subjective estimates. Rehabilitation could be more effective when informed by an individual's specific capacities rather than diagnostic observation. This study characterizes sub-movements of interest during functional reach-to-target tasks with endpoint analysis.\newline<br> <br> Methods. Using Fugl-Meyer (FM) scores and reach capacities, stroke survivors were placed in either mild or severe impairment groups. Individual completed sets of reach-to-target tasks over two visits. The averaged reach curve for each subject was analyzed for angular orientation and velocity profile. The Procrustes method of statistical shape analysis was modified to identify reaching sub-movements that were incongruous to control sub-movements.\newline</p> <p>Findings. Reach-to-target curves were investigated for 15 individuals with mild impairment (FM <span class="math-tex">\(52 \pm 9\)</span>) and 14 individuals with severe impairment (FM <span class="math-tex">\(16 \pm 7\)</span>). The endpoint kinematic analysis found that individuals with severe impairment demonstrate lower peak velocities (centimeters per second) [<span class="math-tex">\(28.5 \pm 17.3 , 80.3 \pm 29.5\)</span>] which occurred sooner in the movement (milliseconds) [<span class="math-tex">\(36.81 \pm 27.0, 59.6 \pm 14.8\)</span>]. The mild group demonstrated variability in orientation in the medial-lateral space, and movement initiation that was congruous to healthy movement. The severe impairment group demonstrated variability in orientation in every axis and showed incongruous initiation and completion behaviors, with some comparable movement in between. \newline<br> <br> Interpretation. Endpoint analysis is a valuable option for clinicians to inform physiotherapy. In addition to kinematic metrics such as orientation and velocity, sub-movements that are comparable to healthy movement can be identified in both mild and severe impairment.</p>
Cardiovascular Rehabilitation Early After Stroke Using Feedback-controlled Robotics-assisted Treadmill Exercise
ClinicalTrials.gov study NCT01679600. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Sub-Acute Stroke Rehabilitation With AMES
ClinicalTrials.gov study NCT00609115. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Cost-effectiveness of Forced Aerobic Exercise for Stroke Rehabilitation
ClinicalTrials.gov study NCT03819764. IPD Sharing: NO. Countries: 1. Publications: 3.
Acetylcholinesterase Inhibitors to Improve Cognitive Function and Overall Rehabilitation After a Stroke
ClinicalTrials.gov study NCT00227994. IPD Sharing: YES. Countries: 1. Publications: 1.
CO-OPerative Training for Stroke Rehabilitation
ClinicalTrials.gov study NCT02755805. IPD Sharing: NO. Countries: 1. Publications: 1.
Translating Intensive Arm Rehabilitation in Stroke to a Telerehabilitation Format
ClinicalTrials.gov study NCT02665052. IPD Sharing: NO. Countries: 1. Publications: 2.
BCI-FES Therapy for Stroke Rehabilitation
ClinicalTrials.gov study NCT04279067. IPD Sharing: NO. Countries: 1. Publications: 1.
Stroke and CPAP Outcome Study: A Sham-controlled Trial of CPAP Among Stroke Rehabilitation Patients
ClinicalTrials.gov study NCT02551757. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Forced Aerobic Exercise for Stroke Rehabilitation
ClinicalTrials.gov study NCT02494518. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Extension of the MIME Robotic System for Stroke Rehabilitation
ClinicalTrials.gov study NCT00995774. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Comparative Effectiveness of Rehabilitation Services for Survivors of Acute Ischemic Stroke
ClinicalTrials.gov study NCT02284165. IPD Sharing: NO. Countries: 1. Publications: 1.
Modulating Interaction of Motor Learning Networks in Rehabilitation of Stroke
ClinicalTrials.gov study NCT03086551. IPD Sharing: NO. Countries: 1. Publications: 3.
Prospective Evaluation of Atrial Fibrillation-Related Stroke Patients in Rehabilitation Program (PEARL), an Observational Cohort Study
ClinicalTrials.gov study NCT07253974. IPD Sharing: YES. Countries: 1. Publications: 14.
Customized Cortical Stimulation Therapy in the Rehabilitation of Stroke Patients
ClinicalTrials.gov study NCT02544503. IPD Sharing: NO. Countries: 1. Publications: 3.
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